Crowdsourcing and Simulation with Mobile Agents and the JavaScript Agent Machine

Using Mobile Multi-Agent Systems, this book tackles the problem of unified and distributed computing in robust heterogeneous contexts, spanning from Internet Clouds to Sensor Networks. The operational gap between low-resource data processing units, such as single microchips embedded in materials, mobile devices, and generic computers including servers, should be closed by a unified agent behaviour model, agent processing platform architecture, and programming framework, supporting real-world deployment as well as simulation. Major features include robustness, scalability, self-organization, reconfiguration, adaptivity, and learning. This book provides a straightforward introduction to creating JavaScript agents using the JavaScript Agent Machine (JAM) requiring only a few lines of code. In a short amount of time, even beginners may develop robust multi-agent systems. JAM is a VM-in-VM concept, i.e., JAM provides an agent VM processed by another (JavaScript) VM. Although, VM-in-VM concepts can introduce performance bottlenecks, there are numerous high-performance JavaScript engines like Googles V8, delivering exceptional performance for JavaScript agents, too.There are countless application areas, including sensor data processing, structural health monitoring, load monitoring of technical structures, distributed computing, distributed databases, and search, automated design, cloud-based manufacturing, mobile crowdsensing (MCS), and surveys. This book has a strong practical focus on MCS. MCS is a useful tool for data mining because it views people as sensors. In addition, agent-based simulation is addressed, finally coupled to real worlds using MCS and digital twin concepts..